Method for controlling wireless intelligent ultrasound fetal imaging system

ABSTRACT

A wireless intelligent ultrasound fetal imaging system includes an ultrasound transducer, an ultrasound AFE module, a ZYNQ module, a machine vision module and a mobile device. The mobile device controls the system by transmitting control parameters values to the system over a wireless link. The ZYNQ module receives and applies the parameters, and outputs processing results to a FPGA processor. Controlled by the parameters, the FPGA processor causes the AFE module to transmit ultrasound wave toward a pregnant mother, and receive and process echoing wave. The FPGA processor then conducts imaging processing. The processed image data is then recognized by machine vision module. The processed image data is integrated before it is sent to and displayed the mobile terminal device.

CROSS REFERENCE TO RELATED APPLICATIONS

This application claims the benefit and priority of China PatentApplication Number 201510554138.0, entitled “METHOD FOR CONTROLLINGWIRELESS INTELLIGENT ULTRASOUND FETAL IMAGING SYSTEM,” filed Sep. 2,2015 and which is hereby incorporated by reference in its entirety. Thisapplication further claims the benefit and priority of China PatentApplication Number 201510554137.6, entitled “WIRELESS INTELLIGENTULTRASOUND FETAL IMAGING SYSTEM,” filed Sep. 2, 2015 and which is herebyincorporated by reference in its entirety. This application also claimsthe benefit and priority of PCT Patent Application NumberPCT/CN2015/091443, entitled “WIRELESS INTELLIGENT ULTRASOUND FETALIMAGING SYSTEM,” filed Oct. 8, 2015 and which is hereby incorporated byreference in its entirety. This application is related to and claims thebenefit and priority of U.S. patent application Ser. No. 14/977,711,entitled “WIRELESS INTELLIGENT ULTRASOUND FETAL IMAGING SYSTEM,” filedDec. 22, 2015.

FIELD OF THE DISCLOSURE

The present invention generally relates to an ultrasound imaging system,and more particularly relates to a wireless intelligent ultrasound fetalimaging system operatively coupled to a mobile terminal device. Moreparticularly still, the present disclosure relates to a method forobtaining a fetal image using a wireless intelligent ultrasound fetalimage processing system operatively coupled to a mobile device.

DESCRIPTION OF BACKGROUND

A conventional ultrasound imaging system usually includes a probe, ahost computer and a display unit. These components are linked by cablesfor data information transmission. Conventional ultrasound imagingsystems have low portability. In other words, bulky conventionalultrasound imaging systems are inconvenient to carry and move around.

In addition, conventional ultrasound imaging systems impose highrequirements on their operators. For example, operators of conventionalultrasound imaging systems must go through a professional trainingprocess. In particular, three dimensional (“3D”) imaging and fourdimensional (“4D”) imaging features demand even higher requirements onthe operators. As used herein, 4D imaging means real-time 3D imagingtechnologies. In other words, 4D imaging is continuous 3D imaging overthe time axis. Moreover, 3D fetal images and 4D fetal images can only beobtained by using extremely expensive conventional ultrasound imagingsystems.

With rapid advancements in chip technologies in accordance with Moore'slaw, chip density becomes higher and higher while chips' physicaldimension becomes smaller and smaller. In addition, chips are becomingmore powerful at lower power consumption. Accordingly, integratedcircuit technologies make small sized ultrasound imaging systemequipment possible. Furthermore, rapid developments in machine visiontechnologies provide certain technological foundation for an intelligent3D imaging system.

Communication technologies have advanced rapidly in last few decades aswell. High speed broadband wireless communication technologies haveobtained wide adoption worldwide, and make wireless imaging systempossible.

Accordingly, there is a need for a wireless intelligent ultrasound fetalimaging system and a method controlling the system. There is a furtherneed for a handheld wireless intelligent ultrasound fetal imaging systemthat generates 3D and 4D images.

SUMMARY OF THE DISCLOSURE

Generally speaking, pursuant to the various embodiments, the presentdisclosure provides a method for controlling a wireless intelligentultrasound fetal imaging system. The wireless intelligent ultrasoundfetal imaging system includes an ultrasound transducer. The ultrasoundtransducer is adapted to transmit ultrasound wave to a fetus and receiveecho wave from the fetus. The system also includes an ultrasonic AFEmodule operatively coupled to ultrasound transducer. The ultrasonic AFEmodule is adapted to actuate transmission of the ultrasound wave,reception of the echo wave, and digitize the echo wave, thereby formingdigitized signal. The system further includes a ZYNQ module operativelycoupled to the ultrasound transducer and the ultrasonic AFE module. TheZYNQ module is adapted to perform image processing on the digitizedsignal, thereby forming a processed image. Furthermore, the systemincludes a machine vision module operatively coupled to the ZYNQ module.The machine vision module is adapted to receive the processed image fromthe ZYNQ module, recognize the processed image to form a recognizedimage, and send the recognized image to the ZYNQ module. The ZYNQ moduleintegrates the recognized image with a deflection angle of theultrasound transducer to form an integrated image. Moreover, the systemincludes a mobile terminal, and a wireless transmission moduleoperatively coupled to the ZYNQ module and the machine vision module.The wireless transmission module is adapted to communicate with themobile terminal over a wireless communication connection. The mobileterminal receives the integrated image from the wireless transmissionmodule, and displays the integrated image on a screen of the mobileterminal.

BRIEF DESCRIPTION OF THE DRAWINGS

Although the characteristic features of this disclosure will beparticularly pointed out in the claims, the invention itself, and themanner in which it may be made and used, may be better understood byreferring to the following description taken in connection with theaccompanying drawings forming a part hereof, wherein like referencenumerals refer to like parts throughout the several views and in which:

FIG. 1 is a block diagram of a wireless intelligent ultrasonic imagingsystem in accordance with the teachings of this disclosure.

FIG. 2 a block diagram of a wireless intelligent ultrasonic imagingsystem in accordance with the teachings of this disclosure.

FIG. 3 is a simplified block diagram of the ultrasound transducer inaccordance with the teachings of this disclosure.

FIG. 4 is a sample fetal image in accordance with the teachings of thisdisclosure.

FIG. 5 is a flowchart depicting a process by which wireless intelligentultrasound fetal image processing system generates a fetal image inaccordance with the teachings of this disclosure.

A person of ordinary skills in the art will appreciate that elements ofthe figures above are illustrated for simplicity and clarity, and arenot necessarily drawn to scale. The dimensions of some elements in thefigures may have been exaggerated relative to other elements to helpunderstanding of the present teachings. Furthermore, a particular orderin which certain elements, parts, components, modules, steps, actions,events and/or processes are described or illustrated may not be actuallyrequired. A person of ordinary skills in the art will appreciate that,for the purpose of simplicity and clarity of illustration, some commonlyknown and well-understood elements that are useful and/or necessary in acommercially feasible embodiment may not be depicted in order to providea clear view of various embodiments in accordance with the presentteachings.

DETAILED DESCRIPTION

Turning to the Figures and to FIG. 1 in particular, a simplified blockdiagram illustrating a wireless intelligent ultrasound fetal imagingsystem is shown and generally indicated at 100. The wireless intelligentultrasound fetal imaging system 100 includes a wireless intelligentultrasound fetal image processing system 102 and a mobile communicationdevice 182 operatively coupled to the processing system 102. The mobilecommunication device 182 is also referred to herein a mobile terminal, amobile device and a portable terminal. The mobile terminal 182 can be,for example, a tablet computer (also referred to herein as a PAD), asmartphone, a portable digital assistant device, a portable computer ora personal computer running one or more specialized computer programs(also referred to herein as computer software and computer softwareapplications) written in computer programming languages, such as C, C++,C#, JAVA, OBJECT-C, etc.

The wireless intelligent ultrasound fetal image processing system 102includes an ultrasound analog front-end (“AFE”) module 104, a ZYNQmodule 106, a stepper motor module 108, a machine vision module 110, anultrasound transducer 112 operatively coupled to a motion sensor 114, apower supply module 118 including, for example, a battery 120, and awireless transmission module 116 for communicating with the mobileterminal 182. The ultrasound transducer 112 emits ultrasonic wavetargeting a fetus residing within the body of the carrying mother, andreceives echo wave. The ultrasonic AFE module 104 includes a highvoltage metal-oxide-semiconductor field-effect transistor (“MOSFET”)132, a transmit beamformer 134, a transmit/receive (“T/R”) switch 136, acontrolled gain amplifier 138, an analog-to-digital converter (“ADC”)140 and a receive beamformer 142. The ultrasonic AFE module 104 performsdigital transmission of ultrasound wave, and reception and processing ofecho signal. The ultrasonic AFE module 104 further digitizes thereceived echo signals.

The ZYNQ module 106 is an electronic module that includes a centralprocessing unit (“CPU”) processor 152 and a field-programmable gatearray (“FPGA”) processor 154. The ZYNQ module 106 performs imageprocessing on the digitized echo signals from the ultrasonic AFE module104, and generates a processed image. The ZYNQ module 106 then sends theprocessed image to the machine vision module 110 for recognition. Inaddition, the ZYNQ module 106 integrates the result of the recognitionwith the deflection angle data provided by the ultrasound transducer112, and sends the integrated data to the mobile terminal 182 via thewireless transmission module 116.

The machine vision module 110, including a FPGA processor 162 and adouble data rate (“DDR”) memory, implements real-time image recognitionusing comparison of characteristics between images, determines thecorrect image information without image integration or other processing,and completes tracking and recognition of 3D and/or 4D images. Real-timeimage recognition using comparison of characteristics between imagesincludes establishing a database of image characteristics, conductingreal-time comparison of such databases of images, and finding matchingreal-time image, which is the effective image.

The mobile terminal 182 controls the ZYNQ module 106, process the dataintegrated by the ZYNQ module 106, and displays the integrated data on ascreen of the mobile terminal 182. For example, the mobile terminal 182projects, enhances, smooths, rotates the image, zoom and/or glosses theimage. In one implementation, the mobile terminal 182 communicated with,for example, a cloud data system 184 (such as a cloud database or clouddata center) for data analysis and sharing. The sharing can be performedusing, for example, social networks (such as Facebook) and other formsof Internet based communication means. A user operates the mobileterminal 182 by interacting with the software application running on themobile terminal device 182.

The system 100 is further illustrated by reference to FIG. 2. Referringto FIG. 2, a simplified block diagram of the system 100 is shown. Thewireless intelligent ultrasound fetal image processing system 102 isposition next to a pregnant mother 202 for scanning her fetus. Thesystem 102 is linked to the mobile terminal device 182 over a wirelessconnection. A fetal image 204 is displayed on the mobile device 182. Themobile device 182 can upload the image 204 to the cloud 184 over theInternet 206.

Turning back to FIG. 1, the ultrasound transducer 112 achievesdisplacement through an actuating device. The ultrasound transducer 112is connected to the motion sensor 114, which obtains deflection angledata of the ultrasound transducer 112. The deflection angle data isadditional data for each image frame, and is sent to the ZYNQ module 106for processing. The deflection angle data can be, for example, adeflection angle. For instance, when the ultrasound transducer 112receives information indicating a deflection angle of 30 degrees (30°),the motion sensor 114 then causes the ultrasound transducer 112 to makea symmetrical swing. In such a case, the deflection angle 30° is storedin the image frame as a parameter. Such data can be appended to theimage frame in a customized format.

It should be noted that the ultrasound transducer 112 includes multipletransducer units or two-dimensional array. The multiple units areindicated at 302 in FIG. 3, which shows a simplified block diagram ofthe ultrasound transducer 112.

The actuating device includes a driving gear and the stepper motormodule 108 including a stepper motor 172 and a motor drive 174. Thedriving gear is disposed between the stepper motor 172 and theultrasound transducer 112. Through the driving gear, the ultrasoundtransducer 112 moves with the operation of the stepper motor 172. Themotion sensor 114 detects the movement of the ultrasound transducer 112.The ZYNQ module 106, controlled by the mobile terminal 182, controls thestarting and stopping of the stepper motor module 108, and otherfunctions of the system 102, such as signal processing.

Signals transmitted by the ultrasonic AFE module 104 is generated by thetransmit beamformer 134. In one implementation, the AFE module includesa low-noise amplifier, a variable gain amplifier, an anti-aliasingfilter and an analog-to-digital converter for transmitting the signals.The high voltage MOSFET 132 converts the generated signals into highvoltage signals. For example, the conversion is made by electricalexcitation. The T/R switch 136 functions to excite the ultrasoundtransducer 112. After the ultrasonic signals are transmitted, thetransducer 112 enters into a reception cycle. Through the T/R switch136, echo signals from the fetus enter the controlled gain amplifier138. The amplified echo signals are then processed by the ADC 140. Thereceive beamformer 142 then receives the converted signals from the ADC140, and converts them into digital beam signals.

Within the ZYNQ module 106, the CPU processor 152 and the FPGA processor154 are operatively coupled with each other and can communicate witheach other. For example, the processors 152-154 exchange data. The FPGAprocessor 154 controls the transit beamformer 134 to transmit signals,and process digital beam signals output from the receive beamformer 142.The FPGA processor 154 is also operatively coupled to the machine visionmodule 110. The CPU processor 152 is operatively coupled to the motionsensor 114, the stepper motor module 108 and the wireless transmissionmodule 116.

The FPGA processor 162 and the FPGA processor 154 are operativelycoupled to each other and communicate data to each other. The dataprocessed by the FPGA processor 162 is stored in the DDR 164. The mobileterminal 182 communicates with the wireless transmission module 116using, for example, WiFi, wireless USB, long term evolution (“LTE”)fourth generation (“4G”), LTE fifth generation (“5G”), or other wirelesscommunication technologies.

The power supply module 118 provides electric power to other componentsof the wireless intelligent ultrasound fetal image processing system102, such as the stepper motor module 108, the ultrasonic AFE module104, the ZYNQ module 106, the machine vision module 110, the ultrasoundtransducer 112, etc. The power supply module 118 can include, forexample, a high voltage power supply, a lower voltage power supplygenerating circuit, a battery charge and discharge controller, or arechargeable battery.

The software application running on the mobile terminal 182 processesdata and controls various components of the wireless intelligentultrasound fetal image processing system 102. Accordingly, compared toconventional fetal imaging systems, the system 100 generates 3D and 4Dfetal images faster, imposes lower requirements on the operator'straining on the system 100, is a handheld system, and intelligentlygenerates 3D and 4D fetal images by automatically tracking fetal imagesusing the machine vision module 110. Due to its portability, the system100 can be deployed at hospitals and any other facilities to ease theoperation and use of the system 100 by its intended users. In addition,in the system 100, fetal image data and parameters for controlling thesystem 102 are transmitted wirelessly. Furthermore, the system 100 canbe operatively coupled to the Internet for accessing cloud computingpower, such as the cloud data center 184. For the example, the terminal182 can store image data in the cloud data center 184, from where otherusers (such as a doctor) can access the fetal images generated by thesystem 100. The generation, transmission, analysis and feedback of fetalimages are automatic features of the system 100. In other words, thesystem 100 can be used and operated by laymen without medical training,and thus dramatically improves productivity.

To operate the wireless intelligent ultrasound fetal imaging system, auser operates the mobile terminal 182 and launches and interacts withthe software application running on the mobile terminal 182. The userenters one or more values for control parameters. The softwareapplication then controls the mobile terminal 182 to configure thewireless intelligent ultrasound fetal image processing system 102 bysetting various control parameters of the system 102. Via the wirelesstransmission module 116, the CPU 152 receives the parameters' values,and processes the parameters. The CPU 152 also sends relevant processedparameters to the FPGA processor 154. Under the control of suchparameters, the FPGA processor 154 controls the transmission ofultrasound wave from the ultrasonic AFE module 104, and reception ofecho signal. The ultrasound wave is targeted to the carrying mother of afetus.

The transmit beamformer 134 generates emission signals, which areconverted into high voltage signals by the MOSFET 132. The T/R switch136 then excites the ultrasound transducer 112 to send the ultrasoundwave to the carry mother's body. After the transmission, the ultrasoundtransducer 112 enters into a reception cycle. Through the T/R switch136, echo signal from the fetus and the fetus's surrounding area enterthe amplifier 138. The amplified signals are converted into digitalsignals by the ADC 140. The digital signals enter the receive beamformer142. In response, the beamformer 142 generates beam signals.

To achieve accurate control over 3D data, the ultrasound transducer 112is operatively coupled to the stepper motor 172. The CPU processor 152controls the rotation angle of the stepper motor 172 based on parametersreceived from the mobile terminal 182. The parameters include, forexample, swing step interval, maximum step size, minimum step size,scanning center, effective step size and power.

For every stepping unit the stepper motor 172 deflects or moves, oneimage of the fetus is generated. At the same time, the motion sensor 114accurately obtains the deflection angle of the ultrasound transducer112. The deflection angle is a piece of metadata of the image frame, andassociated with the image frame. For each particular scanning angle, theultrasound transducer 112 scans the fetus and a set of data, such as theangle data and the image frames, is collected. The scanning is conductedin a swinging manner. Accordingly, the fetal image takes the shape of asector as shown in FIG. 4. For a range of scanning angles, multiple setsof data are then collected. As used herein, 3D data refers to thecollection of all such data.

Digital beam signal is sent to the FPGA processor 154 for imageprocessing. The output data is then transmitted to the FPGA processor162 for data recognition processing. The data recognition processingincludes, for example, filtering, down sampling, line smoothing, DSC,and fast Fourier transform. The output from the FPGA processor 162 isthen sent back to the FPGA processor 154 for data integration. Dataintegration includes, for example, data construction based on threedimensional imaging algorithm, and perform additional processing on theconstructed data. The additional processing includes, for example,trimming, rotation, smoothing, translation in certain direction andzooming. In addition, the constructed data can be further processed fordifferent display configurations.

The CPU processor 152 then, through the wireless transmission module116, sends the integrated data to the terminal 182, and displays thedata on the terminal's 182 screen. The mobile terminal 182 optionallysends the data (meaning fetal images) to the cloud data center 184 forfurther analysis and sharing.

The method for controlling the wireless intelligent ultrasound fetalimage processing system is further illustrated by reference to FIG. 5.Turning now FIG. 5, a flowchart depicting a process by which the system100 generates a fetal image and uploads to the cloud 184 is shown andgenerally indicated at 500. At 502, the mobile device 182 sends controlparameters (also referred to herein as values of parameters) to thesystem 102. At 504, the system 102 processes the parameters. At 506,based on the processed parameters, the system 102 generates ultrasoundwave and transmits such wave to a fetus disposed inside the fetus'smother. At 508, the system 102 receives echo wave. At 510, the system102 digitizes the echo wave to generate digital signal. At 512, thesystem 102 performs imaging processing on the digital signal to generatea processed image. At 514, the system 102 performs image recognition onthe processed image to generate a recognized image. At 516, the system102 performs data integration on the recognized image to generate anintegrated image. At 518, the system 102 sends the integrated image tothe mobile device 182. At 520, the mobile device displays the receivedimage on its screen. At 522, it sends the image to the cloud data center184 for sharing and further analysis.

Obviously, many additional modifications and variations of the presentdisclosure are possible in light of the above teachings. Thus, it is tobe understood that, within the scope of the appended claims, thedisclosure may be practiced otherwise than is specifically describedabove without departing from the true spirit and scope of the presentinvention.

The foregoing description of the disclosure has been presented forpurposes of illustration and description, and is not intended to beexhaustive or to limit the disclosure to the precise form disclosed. Thedescription was selected to best explain the principles of the presentteachings and practical application of these principles to enable othersskilled in the art to best utilize the disclosure in various embodimentsand various modifications as are suited to the particular usecontemplated. It should be recognized that the words “a” or “an” areintended to include both the singular and the plural. Conversely, anyreference to plural elements shall, where appropriate, include thesingular.

It is intended that the scope of the disclosure not be limited by thespecification, but be defined by the claims set forth below. Inaddition, although narrow claims may be presented below, it should berecognized that the scope of this invention is much broader thanpresented by the claim(s). It is intended that broader claims will besubmitted in one or more applications that claim the benefit of priorityfrom this application. Insofar as the description above and theaccompanying drawings disclose additional subject matter that is notwithin the scope of the claim or claims below, the additional inventionsare not dedicated to the public and the right to file one or moreapplications to claim such additional inventions is reserved.

What is claimed is:
 1. A method for obtaining a fetal image using awireless intelligent ultrasound fetal image processing system, themethod comprising: i. an ultrasound fetal image processing systemreceiving a set of parameters from a mobile device, said ultrasoundfetal image processing system including: (1) an ultrasound transducer;(2) an ultrasonic AFE module operatively coupled to said ultrasoundtransducer; (3) a ZYNQ module operatively coupled to said ultrasoundtransducer and said ultrasonic AFE module; (4) a machine vision moduleoperatively coupled to said ZYNQ module; and (5) a wireless transmissionmodule operatively coupled to said ZYNQ module and said machine visionmodule; ii. based on set of parameters, said ultrasound transducergenerating ultrasound wave; iii. said ultrasound transducer transmittingsaid ultrasound wave to a fetus; iv. said ultrasound transducerreceiving echo wave corresponding to said ultrasound wave, wherein saidultrasonic AFE module actuates transmission of said ultrasound wave andreception of said echo wave; v. said ultrasonic AFE module digitizingsaid echo wave, thereby forming digitized signal; vi. said ZYNQ moduleperforming image processing on said digitized signal, thereby forming aprocessed image; vii. said machine vision module performing imagerecognition on said processed image to form a recognized image; viii.said ZYNQ module performing data integration on said recognized image,thereby forming an integrated image; and ix. said wireless transmissionmodule sending said integrated image to said mobile terminal over awireless communication connection.
 2. The method for obtaining a fetalimage using a wireless intelligent ultrasound fetal image processingsystem of claim 1, wherein said mobile terminal receives said integratedimage and displays said integrated image on a screen of said mobileterminal.
 3. The method for obtaining a fetal image using a wirelessintelligent ultrasound fetal image processing system of claim 2, whereinsaid mobile terminal sends said integrated image to a cloud data center.4. The method for obtaining a fetal image using a wireless intelligentultrasound fetal image processing system of claim 3, wherein said mobileterminal sends said integrated image to a cloud data center over theInternet.
 5. The method for obtaining a fetal image using a wirelessintelligent ultrasound fetal image processing system of claim 1 furthercomprising: i.) said machine vision module receiving said processedimage from said ZYNQ module; and ii.) said machine vision module sendingsaid recognized image to said ZYNQ module, wherein said ZYNQ moduleintegrates said recognized image with a deflection angle of saidultrasound transducer in forming said integrated image.
 6. The methodfor obtaining a fetal image using a wireless intelligent ultrasoundfetal image processing system of claim 1, wherein said ultrasound fetalimage processing system further comprising a motion sensor and a steppermotor module, said motion sensor operatively coupled to said ultrasoundtransducer, said stepper motor module having a stepper motor, saidultrasound transducer moving with the operation of said stepper motorthrough an actuating device, said motion sensor obtaining a deflectionangle of said ultrasound transducer and sending said deflection angle tosaid ZYNQ module.
 7. The method for obtaining a fetal image using awireless intelligent ultrasound fetal image processing system of claim6, wherein said actuating device includes a driving gear and saidstepper motor module, wherein a starting and a stopping of said steppermotor module is controlled by said ZYNQ module.
 8. The method forobtaining a fetal image using a wireless intelligent ultrasound fetalimage processing system of claim 6, wherein said ultrasonic AFE moduleincludes a T/R switch, a high voltage MOSFET, a transmit beamformer, acontrolled gain amplifier, an analog-to-digital converter and a receivebeamformer, wherein: i.) said ultrasound wave is generated by saidtransmit beamformer and amplified by said controlled gain amplifier;ii.) said T/R switch excites said ultrasound transducer for transmittingsaid ultrasound wave; iii.) said ultrasound transducer enters areception cycle after transmission of said ultrasound wave; iv.) saidcontrolled gain amplifier amplifies said echo wave, thereby formingamplified signal; v.) said analog-to-digital converter converts saidamplified signal into digital signal; and vi.) said receive beamformerconverts said digital signal into beam signal.
 9. The method forobtaining a fetal image using a wireless intelligent ultrasound fetalimage processing system of claim 8, wherein said ZYNQ module includes aCPU processor and a first FPGA processor, said CPU processor and saidfirst FPGA processor adapted to exchange data, said first FPGA processorcontrolling said transmit beamformer and said receive beamformer, saidCPU processor operatively coupled to said motion sensor, said steppermotor module and said wireless transmission module, said first FPGAprocessor operatively coupled to said machine vision module.
 10. Themethod for obtaining a fetal image using a wireless intelligentultrasound fetal image processing system of claim 9, wherein saidmachine vision module includes a second FPGA processor and a DDR memory,said first FPGA processor communicating with said second FPGA processorfor data exchange, said DDR memory storing data output from said secondFPGA processor.
 11. The method for obtaining a fetal image using awireless intelligent ultrasound fetal image processing system of claim6, wherein said wireless transmission module communicates with saidmobile terminal over a WiFi connection, a wireless USB connection, a 4Gconnection or a 5G connection.
 12. The method for obtaining a fetalimage using a wireless intelligent ultrasound fetal image processingsystem of claim 6, wherein said ultrasound fetal image processing systemfurther comprising a power supply module providing power for saidultrasound transducer, said stepper motor module, said ZYNQ module, saidmachine vision module and said ultrasonic AFE module, said power supplymodule including a high voltage power supply, a lower voltage powersupply generating circuit, a battery charge and discharge controller ora rechargeable battery.
 13. The method for obtaining a fetal image usinga wireless intelligent ultrasound fetal image processing system of claim6, wherein said mobile terminal is a smart phone, a PAD or a personalcomputer, and wherein said mobile terminal runs a software application.14. The method for obtaining a fetal image using a wireless intelligentultrasound fetal image processing system of claim 1, wherein saidultrasound transducer includes multiple transducer units or atwo-dimensional array.
 15. A method for obtaining a fetal image using awireless intelligent ultrasound fetal image processing system, themethod comprising: i. an ultrasound fetal image processing systemreceiving a set of parameters from a mobile device; ii. based on set ofparameters, said ultrasound fetal image processing system generatingultrasound wave; iii. said ultrasound fetal image processing systemtransmitting said ultrasound wave to a fetus; iv. said ultrasound fetalimage processing system receiving echo wave corresponding to saidultrasound wave; v. said ultrasound fetal image processing systemdigitizing said echo wave, thereby forming digitized signal; vi. saidultrasound fetal image processing system performing image processing onsaid digitized signal, thereby forming a processed image; vii. saidultrasound fetal image processing system performing image recognition onsaid processed image to form a recognized image; viii. said ultrasoundfetal image processing system performing data integration on saidrecognized image, thereby forming an integrated image; and ix. saidultrasound fetal image processing system sending said integrated imageto said mobile terminal over a wireless communication connection. 16.The method for obtaining a fetal image using a wireless intelligentultrasound fetal image processing system of claim 15, wherein saidmobile terminal receives said integrated image and displays saidintegrated image on a screen of said mobile terminal.
 17. The method forobtaining a fetal image using a wireless intelligent ultrasound fetalimage processing system of claim 16, wherein said mobile terminal sendssaid integrated image to a cloud data center.
 18. The method forobtaining a fetal image using a wireless intelligent ultrasound fetalimage processing system of claim 17, wherein said mobile terminal sendssaid integrated image to a cloud data center over the Internet.